Analyzing political text can answer many pressing questions in political science, from understanding political ideology to mapping the effects of censorship in authoritarian states. This makes the study of political text and speech an important part of the political science methodological toolbox. The confluence of increasing availability of large digital text collections, plentiful computational power, and methodological innovations has led to many researchers adopting techniques of automatic text analysis for coding and analyzing textual data. In what is sometimes termed the “text as data” approach, texts are converted to a numerical representation, and various techniques such as dictionary analysis, automatic scaling, topic modeling, and machine learning are used to find patterns in and test hypotheses on these data. These methods all make certain assumptions and need to be validated to assess their fitness for any particular task and domain.
Wouter van Atteveldt, Kasper Welbers, and Mariken van der Velden
Public diplomacy has become an essential subject for both practitioners of foreign policy and scholars of international relations/world politics. The more the term achieves popularity and is used in policy papers, magazines, academic books, and articles, the greater the number of different definitions of the concept. Unfortunately, no universally agreed-upon definition exists. With regard to the international relations debate on the “-isms,” some researchers claim that public diplomacy is part of constructivism. Yet, while it may be appropriate to categorize public diplomacy as constructivist for norm-oriented reputation politics such as “naming and shaming,” many realists working from the rationalist paradigm have recognized the importance of public diplomacy in international relations. Recently, beyond discussions on definitions and scope of public diplomacy, many data-oriented, empirical studies have been published on the subject. For instance, moves have been made to rank which state can achieve the greatest level of soft power through the effective practice of public diplomacy. Moreover, quantitative text analysis (QTA) or content analysis frameworks have frequently been utilized to study how international media focus on controversial diplomatic issues between states. Even tweets and social networks are being studied to reveal what types of international diplomatic communications are supported and opposed by third-party domestic audiences. Rapid developments continue to be made in the methodological sophistication of public diplomacy studies.